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Ritesh Krishna

Showing results (1-10 of 25) with videos related to

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Genome|November 20, 2020
User-centric genomics infrastructure: trends and technologiesRitesh Krishna, Vadim Elisseev
Plants (Basel, Switzerland)|December 28, 2021
Bluster or Lustre: Can AI Improve Crops and Plant Health?Laura-Jayne Gardiner, Ritesh Krishna
Computational and Structural Biotechnology Journal|May 6, 2022
Scalable in-memory processing of omics workflowsVadim Elisseev, Laura-Jayne Gardiner, Ritesh Krishna
Proteomics|January 24, 2014
The jmzQuantML programming interface and validator for the mzQuantML data standardDa Qi, Ritesh Krishna, Andrew R Jones
BMC Bioinformatics|February 2, 2010
A temporal precedence based clustering method for gene expression microarray dataRitesh Krishna, Chang-Tsun Li, Vicky Buchanan-Wollaston
Environmental Science and Pollution Research International|June 14, 2022
Augmenting the productivity of tubular solar still using low-cost energy storage materialsRitesh Krishna Sambare, Satish Kumar Dewangan, Pankaj Kumar Gupta, et al.
Plos One|June 30, 2012
Listen to genes: dealing with microarray data in the frequency domainJianfeng Feng, Dongyun Yi, Ritesh Krishna, et al.
Proteomics|January 16, 2013
A guide for integration of proteomic data standards into laboratory workflowsJ Alberto Medina-Aunon, Ritesh Krishna, Fawaz Ghali, et al.
Proteomics|October 10, 2014
ProteoAnnotator--open source proteogenomics annotation software supporting PSI standardsFawaz Ghali, Ritesh Krishna, Simon Perkins, et al.
Journal of Proteome Research|January 13, 2011
FDRAnalysis: a tool for the integrated analysis of tandem mass spectrometry identification results from multiple search enginesDavid C Wedge, Ritesh Krishna, Paul Blackhurst, et al.
Pageof 3

Showing results (1-10 of 25) with videos related to

Sort By:
Pageof 3
Genome|November 20, 2020
User-centric genomics infrastructure: trends and technologiesRitesh Krishna, Vadim Elisseev
Plants (Basel, Switzerland)|December 28, 2021
Bluster or Lustre: Can AI Improve Crops and Plant Health?Laura-Jayne Gardiner, Ritesh Krishna
Computational and Structural Biotechnology Journal|May 6, 2022
Scalable in-memory processing of omics workflowsVadim Elisseev, Laura-Jayne Gardiner, Ritesh Krishna
Proteomics|January 24, 2014
The jmzQuantML programming interface and validator for the mzQuantML data standardDa Qi, Ritesh Krishna, Andrew R Jones
BMC Bioinformatics|February 2, 2010
A temporal precedence based clustering method for gene expression microarray dataRitesh Krishna, Chang-Tsun Li, Vicky Buchanan-Wollaston
Environmental Science and Pollution Research International|June 14, 2022
Augmenting the productivity of tubular solar still using low-cost energy storage materialsRitesh Krishna Sambare, Satish Kumar Dewangan, Pankaj Kumar Gupta, et al.
Plos One|June 30, 2012
Listen to genes: dealing with microarray data in the frequency domainJianfeng Feng, Dongyun Yi, Ritesh Krishna, et al.
Proteomics|January 16, 2013
A guide for integration of proteomic data standards into laboratory workflowsJ Alberto Medina-Aunon, Ritesh Krishna, Fawaz Ghali, et al.
Proteomics|October 10, 2014
ProteoAnnotator--open source proteogenomics annotation software supporting PSI standardsFawaz Ghali, Ritesh Krishna, Simon Perkins, et al.
Journal of Proteome Research|January 13, 2011
FDRAnalysis: a tool for the integrated analysis of tandem mass spectrometry identification results from multiple search enginesDavid C Wedge, Ritesh Krishna, Paul Blackhurst, et al.
Pageof 3